Udemy – Credit Risk Modeling in Python 2020 2020-6

Description

Credit Risk Modeling in Python 2020 is a comprehensive credit risk modeling course based on the Python language. In fact, the course is a complete scientific data project in Python language, including all steps of preprocessing, model category, etc., validation, maintenance and improvement. In this course, he will learn how banks use data science modeling to improve their performance and comply with regulatory requirements. This course is designed for beginners, the knowledge is very comprehensive, credit risk etc. concepts and. Techniques including the three aspects of the equation, the disadvantage of the expected (PD., the LGD and EAD), as well as the functional capabilities of modeling scientific data in the Python language are at your disposal. Many data science courses cover multiple frameworks but pass through the pre-processing sections and theories.

The superiority of this time is that, first of all, the base is very strong, with mastering the concepts for your shapes and then all the steps from pre-processing to modeling to validation to teach them. This course also explains how to create models that comply with Basel II and Basel III regulations. Including the techniques of science covered at that time according to WOE and IV (stands for Evidence and Information Value), Classification of Fine, Classify, Coarse etc., Regression, Linear etc. Regression logical, area under the curve, characteristic curve, performance, system, indicator, Jeannie., Kolmogorov-Smirnov, assessing the stability of the population and maintaining the model mention.

What things to learn

Improve your Python modeling skills
Boost resumes and interviews with mastery of data science skills
How to preprocess data (using actual data).
Learn the theory of credit risk modeling
Apply current data science techniques
Perform linear and logical regression in Python
And…

This training is suitable for people who:

Data science students interested in improving their skills
Individuals who typically specialize in credit risk modeling
Beginners who want to build a solid foundation and then expand their skills
People working in marketing who want to strengthen their careers by mastering data science.
People who are looking for a job in a great profession

Profile Credit Risk Modeling in Python 2020

Publisher: Udemy
Lecturer: 365 Careers
Language: English
Training level: from preliminary to advanced
Number of lessons: 75 lessons in 13 sections
Duration: 6h 51m